Water scarcity, pollution and, climate-driven environmental changes necessitate innovative approaches for sustainable water resource management. This review critically examines the emerging integration of nanobiotechnology and artificial intelligence (AI) for water quality monitoring, treatment optimization, desalinati...
Gurdarshan Singh, Anshu Aabha, Neha Dogra et al.· Next Bioengineering· 0 citations
With the rapid development of artificial intelligence, large-scale technology firms generally face the challenge of balancing the stability of mature businesses with new growth opportunities. Taking Microsoft as an example, this paper discusses the relationship between business portfolio diversification and AI-driven g...
Evidence-based strategies transform AI adoption from aspiration into measurable outcomes Stabilarity Research Hub April 2026 DOI: 10.5281/zenodo.19117123 Abstract The capability-adoption gap in artificial intelligence is well-documented but poorly addressed. While organizations invest heavily in AI development and depl...
Oleh Ivchenko· Zenodo (CERN European Organi...· 0 citations
This study aimed to synthesize, develop, and evaluate the Micro Game-Based Learning Model on Intelligent Metaverse Learning Environment. The study integrated Microlearning, Game-Based Learning, Artificial Intelligence, and Metaverse technologies to create a learning environment that provides short learning units, inter...
Deep- to ultradeep-strata carbonate reservoirs are a crucial strategic area for increasing oil and gas reserves and production in my country. These reservoirs are characterized by their great depth, strong heterogeneity, and complex pore structure. The high-temperature and high-pressure environment makes the seismic re...
Siyuan Ying· Applied and Computational En...· 0 citations
Digital technologies have become an important part of contemporary English language teaching (ELT), providing opportunities to expand access to authentic language, support multimodal learning, facilitate interaction, and deliver timely feedback. Learning management systems, mobile applications, online collaboration too...
Fazilat Masharipova· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence (AI) is increasingly being explored in tissue engineering as a data-driven tool for linking biomaterial composition, scaffold architecture, fabrication parameters, and biological responses. Machine learning (ML) and deep learning (DL) approaches have been applied to predict scaffold properties s...
Salar Mohammadi Shabestari, Maryam Abdollahi Asl, Soheila Zamanlui Benisi et al.· Next Nanotechnology· 0 citations
Artificial intelligence is increasingly embedded in modern military operations, influencing how commanders interpret sensor data, assess threats, and make rapid decisions under pressure. While AI improves situational awareness and accelerates operational tempo, it also introduces vulnerabilities such as fabricated outp...
Michael Mackiewicz· Zenodo (CERN European Organi...· 0 citations
In archaeological scholarship, the challenge of interpreting large amounts of fragmented evidence can be daunting. This paper will examine how artificial intelligence can assist in this process, mainly through examining visual evidence and classifying material evidence. Drawing from Trevor Paglen's argument of machine...
Yixian Wang· Communications in Humanities...· 0 citations
This study explores the attitudes, level of familiarity, and use of artificial intelligence (AI) tools among school principals in secondary education in Greece. The sample consists of 63 principals from public schools, with an average age of 53 years and extensive administrative experience. Using an online questionnair...
GEORGIOY IOANNIS· International Journal of Edu...· 0 citations
With the increasing urban rail transit network and the closer connection among operational subsystems, the potential influence range and management difficulty of emergencies have greatly increased. The current emergency management based on traditional methods has some shortcomings in real-time risk recognition, integra...
Zeyuan Zhao· Applied and Computational En...· 0 citations
Artificial intelligence has become increasingly prominent in corporate disclosure, yet firms' AI-related narratives may not always be supported by observable investment in technology or human capital. Using AI-related keywords from annual reports, AI patents, and AI-related job postings of Chinese A-share firms from 20...
Chenghui Yu, Minghao Xia, Yufei Li et al.· Advances in Economics Manage...· 0 citations
